Antoine Perdaens is the CEO & co-founder of Elium, a pioneering European SaaS platform leveraging AI for enterprise knowledge sharing. Since founding the company in 2007, he has led its evolution into a taxonomy-enhanced collaborative intelligence solution serving 100,000+ users across major organizations like L'Oréal and BNP Paribas.
Antoine Perdaens is the CEO & co-founder of Elium, a pioneering European SaaS platform leveraging AI for enterprise knowledge sharing. Since founding the company in 2007, he has led its evolution into a taxonomy-enhanced collaborative intelligence solution serving 100,000+ users across major organizations like L'Oréal and BNP Paribas.
Antoine Perdaens is the CEO & co-founder of Elium, a pioneering European SaaS platform leveraging AI for enterprise knowledge sharing. Since founding the company in 2007, he has led its evolution into a taxonomy-enhanced collaborative intelligence solution serving 100,000+ users across major organizations like L'Oréal and BNP Paribas.
Showcased the evolution of AI-powered knowledge management. He introduced "KRAG," Elium's solution to retrieval-augmented generation (RAG) challenges, which combines RAG with robust knowledge management layers. Perdaens demonstrated smart assistants capable of handling RFP responses and customer support, highlighting AI's potential to transform information interaction.
However, he didn't gloss over the difficulties, acknowledging the "production hell" of implementing RAG at scale. Using Google's pizza-cheese mishap as an example, Perdaens stressed the critical importance of quality data in AI systems.
Panel: Antoine highlighted a gradual evolution in understanding AI's practical applications, drawing parallels to past tech adoption cycles.
Showcased the evolution of AI-powered knowledge management. He introduced "KRAG," Elium's solution to retrieval-augmented generation (RAG) challenges, which combines RAG with robust knowledge management layers. Perdaens demonstrated smart assistants capable of handling RFP responses and customer support, highlighting AI's potential to transform information interaction.
However, he didn't gloss over the difficulties, acknowledging the "production hell" of implementing RAG at scale. Using Google's pizza-cheese mishap as an example, Perdaens stressed the critical importance of quality data in AI systems.
Panel: Antoine highlighted a gradual evolution in understanding AI's practical applications, drawing parallels to past tech adoption cycles.
